Customized and Simplified package for Core Supervised Learning Algorithms
Project description
sketchml: Customized and Simplified package for Core Machine Learning Algorithms
Installation
Create and activate a Python environment, then install the required dependencies.
conda create -n sketchml python=3.10 -y
conda activate sketchml
pip install -r requirements.txt
Or install directly via pip:
pip install sketchml
Note that this package requires Python 3.8 or higher, but it is recommended to use Python 3.10 or higher for the best compatibility and performance.
Usage
The main function to evaluate a Pentagon Copying Test (PCT) image is eval_pct. Below is an example of how to use it:
from sketchml.classif.knn import KNN
knn = KNN(input_dimension="<insert_dimension>", k=3)
License
This project is released under the MIT License. See the LICENSE file for details.
Contact
For questions or feedback, feel free to open an issue on the GitHub repository: https://github.com/htdgv/sketchml/issues
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